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Types of experimental methods
Lab= highly controlled
Field= in a natural setting increasing mundane realism
Natural= No control/manipulation of IV
Quasi= naturally occurring, IV= gender/age
Pros of lab experiment
PRO= High control over variables
replicable
Precise measurement
High internal validity
Useful for testing theories
Cons of lab experiment
CON= low ecological validity (artificial)
demand characteristics= pp may guess the aim and change their behaviour
Researcher effects= experimenter may unintentionally influence pp
Ethical issues= high control=stress ethical issues
Behaviour may be artificial
Pros of field experiment
PRO= high ecological validity (studies in real life environment)
reduced demand characteristics
Can study behaviour in real life
More valid behaviour
Cons of field experiment
CON= less control over extraneous variables
harder to replicate
Ethical issues= no consent
Time consuming + expensive
Cause and effect less certain ( because of reduced control its harder to be sure the IV caused the DV
Pros of natural experiment
PRO= can study variables that would be ethical/ impossible to manipulate ( researchers can investigate real life events like deprivation or disasters)
high ecological validity (real life)
Reduced demand characteristics
Useful for real world research
Cons of natural experiment
CON= little control over extraneous variables
cannot randomly allocate pp (pp variables may affect findings)
Difficult to replicate (naturally occurring events are hard to reproduce)
Cause and effect is harder to establish bc the IV is not controlled by researchers
Ethical issues may still occur
Pros of quasi experiment
PRO= useful when the IV cannot be manipulated (researches can study pre-existing differences such as age, gender, mental disorders)
more ethical than manipulating certain variables (avoids creating harmful conditions)
Can study real life characteristics (findings may have good external validity)
Allows research into naturally occurring groups
Cons of quasi experiment
No random allocation (pp variables may differ between groups and effect results)
Low internal validity (researchers cannot be sure the IV caused the DV bc of confounding variables)
Cause and effect less certain (pre-existing differences may explain findings)
Groups may not be comparable (differences between pp reduce reliability of conclusions)
Harder to control extraneous variables (compared to lab experiments)